Raman spectroscopic and microscopic analysis for monitoring renal osteodystrophy signatures

John D. Ciubuc, Marian Manciu, Avudaiappan Maran, Michael J Yaszemski, Emma M. Sundin, Kevin E. Bennet, Felicia S. Manciu

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Defining the pathogenesis of renal osteodystrophy (ROD) and its treatment efficacy are difficult, since many factors potentially affect bone quality. In this study, confocal Raman microscopy and parallel statistical analysis were used to identify differences in bone composition between healthy and ROD bone tissues through direct visualization of three main compositional parametric ratios, namely, calcium content, mineral-to-matrix, and carbonate-to-matrix. Besides the substantially lower values found in ROD specimens for these representative ratios, an obvious accumulation of phenylalanine is Raman spectroscopically observed for the first time in ROD samples and reported here. Thus, elevated phenylalanine could also be considered as an indicator of the disease. Since the image results are based on tens of thousands of spectra per sample, not only are the average ratios statistically significantly different for normal and ROD bone, but the method is clearly powerful in distinguishing between the two types of samples. Furthermore, the statistical outcomes demonstrate that only a relatively small number of spectra need to be recorded in order to classify the samples. This work thus opens the possibility of future development of in vivo Raman sensors for assessment of bone structure, remodeling, and mineralization, where different biomarkers are simultaneously detected with unprecedented accuracy.

Original languageEnglish (US)
Article number38
JournalBiosensors
Volume8
Issue number2
DOIs
StatePublished - Apr 8 2018

Fingerprint

Chronic Kidney Disease-Mineral and Bone Disorder
Bone
Monitoring
Bone and Bones
Phenylalanine
Physiologic Calcification
Bone Remodeling
Carbonates
Biomarkers
Confocal Microscopy
Minerals
Statistical methods
Microscopic examination
Visualization
Tissue
Calcium
Sensors
Chemical analysis

Keywords

  • Bone composition
  • Raman spectroscopy
  • Renal osteodystrophy
  • Statistical analysis

ASJC Scopus subject areas

  • Clinical Biochemistry

Cite this

Ciubuc, J. D., Manciu, M., Maran, A., Yaszemski, M. J., Sundin, E. M., Bennet, K. E., & Manciu, F. S. (2018). Raman spectroscopic and microscopic analysis for monitoring renal osteodystrophy signatures. Biosensors, 8(2), [38]. https://doi.org/10.3390/bios8020038

Raman spectroscopic and microscopic analysis for monitoring renal osteodystrophy signatures. / Ciubuc, John D.; Manciu, Marian; Maran, Avudaiappan; Yaszemski, Michael J; Sundin, Emma M.; Bennet, Kevin E.; Manciu, Felicia S.

In: Biosensors, Vol. 8, No. 2, 38, 08.04.2018.

Research output: Contribution to journalArticle

Ciubuc, John D. ; Manciu, Marian ; Maran, Avudaiappan ; Yaszemski, Michael J ; Sundin, Emma M. ; Bennet, Kevin E. ; Manciu, Felicia S. / Raman spectroscopic and microscopic analysis for monitoring renal osteodystrophy signatures. In: Biosensors. 2018 ; Vol. 8, No. 2.
@article{34126183f50d4f0b8f6d751edde2fd90,
title = "Raman spectroscopic and microscopic analysis for monitoring renal osteodystrophy signatures",
abstract = "Defining the pathogenesis of renal osteodystrophy (ROD) and its treatment efficacy are difficult, since many factors potentially affect bone quality. In this study, confocal Raman microscopy and parallel statistical analysis were used to identify differences in bone composition between healthy and ROD bone tissues through direct visualization of three main compositional parametric ratios, namely, calcium content, mineral-to-matrix, and carbonate-to-matrix. Besides the substantially lower values found in ROD specimens for these representative ratios, an obvious accumulation of phenylalanine is Raman spectroscopically observed for the first time in ROD samples and reported here. Thus, elevated phenylalanine could also be considered as an indicator of the disease. Since the image results are based on tens of thousands of spectra per sample, not only are the average ratios statistically significantly different for normal and ROD bone, but the method is clearly powerful in distinguishing between the two types of samples. Furthermore, the statistical outcomes demonstrate that only a relatively small number of spectra need to be recorded in order to classify the samples. This work thus opens the possibility of future development of in vivo Raman sensors for assessment of bone structure, remodeling, and mineralization, where different biomarkers are simultaneously detected with unprecedented accuracy.",
keywords = "Bone composition, Raman spectroscopy, Renal osteodystrophy, Statistical analysis",
author = "Ciubuc, {John D.} and Marian Manciu and Avudaiappan Maran and Yaszemski, {Michael J} and Sundin, {Emma M.} and Bennet, {Kevin E.} and Manciu, {Felicia S.}",
year = "2018",
month = "4",
day = "8",
doi = "10.3390/bios8020038",
language = "English (US)",
volume = "8",
journal = "Biosensors",
issn = "0956-5663",
publisher = "Elsevier Limited",
number = "2",

}

TY - JOUR

T1 - Raman spectroscopic and microscopic analysis for monitoring renal osteodystrophy signatures

AU - Ciubuc, John D.

AU - Manciu, Marian

AU - Maran, Avudaiappan

AU - Yaszemski, Michael J

AU - Sundin, Emma M.

AU - Bennet, Kevin E.

AU - Manciu, Felicia S.

PY - 2018/4/8

Y1 - 2018/4/8

N2 - Defining the pathogenesis of renal osteodystrophy (ROD) and its treatment efficacy are difficult, since many factors potentially affect bone quality. In this study, confocal Raman microscopy and parallel statistical analysis were used to identify differences in bone composition between healthy and ROD bone tissues through direct visualization of three main compositional parametric ratios, namely, calcium content, mineral-to-matrix, and carbonate-to-matrix. Besides the substantially lower values found in ROD specimens for these representative ratios, an obvious accumulation of phenylalanine is Raman spectroscopically observed for the first time in ROD samples and reported here. Thus, elevated phenylalanine could also be considered as an indicator of the disease. Since the image results are based on tens of thousands of spectra per sample, not only are the average ratios statistically significantly different for normal and ROD bone, but the method is clearly powerful in distinguishing between the two types of samples. Furthermore, the statistical outcomes demonstrate that only a relatively small number of spectra need to be recorded in order to classify the samples. This work thus opens the possibility of future development of in vivo Raman sensors for assessment of bone structure, remodeling, and mineralization, where different biomarkers are simultaneously detected with unprecedented accuracy.

AB - Defining the pathogenesis of renal osteodystrophy (ROD) and its treatment efficacy are difficult, since many factors potentially affect bone quality. In this study, confocal Raman microscopy and parallel statistical analysis were used to identify differences in bone composition between healthy and ROD bone tissues through direct visualization of three main compositional parametric ratios, namely, calcium content, mineral-to-matrix, and carbonate-to-matrix. Besides the substantially lower values found in ROD specimens for these representative ratios, an obvious accumulation of phenylalanine is Raman spectroscopically observed for the first time in ROD samples and reported here. Thus, elevated phenylalanine could also be considered as an indicator of the disease. Since the image results are based on tens of thousands of spectra per sample, not only are the average ratios statistically significantly different for normal and ROD bone, but the method is clearly powerful in distinguishing between the two types of samples. Furthermore, the statistical outcomes demonstrate that only a relatively small number of spectra need to be recorded in order to classify the samples. This work thus opens the possibility of future development of in vivo Raman sensors for assessment of bone structure, remodeling, and mineralization, where different biomarkers are simultaneously detected with unprecedented accuracy.

KW - Bone composition

KW - Raman spectroscopy

KW - Renal osteodystrophy

KW - Statistical analysis

UR - http://www.scopus.com/inward/record.url?scp=85045748246&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85045748246&partnerID=8YFLogxK

U2 - 10.3390/bios8020038

DO - 10.3390/bios8020038

M3 - Article

C2 - 29642494

AN - SCOPUS:85045748246

VL - 8

JO - Biosensors

JF - Biosensors

SN - 0956-5663

IS - 2

M1 - 38

ER -